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Seyoon Ko
ORCID
Publication Activity (10 Years)
Years Active: 2016-2021
Publications (10 Years): 7
Top Topics
Convex Functions
Blind Deconvolution
Neural Nets
Multilayer Perceptron
Top Venues
CoRR
Bioinform.
AISTATS
Briefings Bioinform.
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Publications
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Seyoon Ko
,
Ginny X. Li
,
Hyungwon Choi
,
Joong-Ho Won
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
Briefings Bioinform.
22 (6) (2021)
Benjamin B. Chu
,
Eric M. Sobel
,
Rory Wasiolek
,
Seyoon Ko
,
Janet S. Sinsheimer
,
Hua Zhou
,
Kenneth Lange
A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl.
Bioinform.
37 (24) (2021)
Seyoon Ko
,
Hua Zhou
,
Jin Zhou
,
Joong-Ho Won
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia.
CoRR
(2020)
Ernest K. Ryu
,
Seyoon Ko
,
Joong-Ho Won
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET.
SIAM J. Sci. Comput.
42 (1) (2020)
Seyoon Ko
,
Joong-Ho Won
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator.
AISTATS
(2019)
Evan Racah
,
Seyoon Ko
,
Peter J. Sadowski
,
Wahid Bhimji
,
Craig Tull
,
Sang-Yun Oh
,
Pierre Baldi
,
Prabhat
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks.
ICMLA
(2016)
Evan Racah
,
Seyoon Ko
,
Peter J. Sadowski
,
Wahid Bhimji
,
Craig Tull
,
Sang-Yun Oh
,
Pierre Baldi
,
Prabhat
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks.
CoRR
(2016)